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Edition originale
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Ajouter au panierHardcover. Etat : Very Good. Etat de la jaquette : Very Good. First Edition. This hardcover edition of "Exploring Data Tables, Trends, and Shapes" is in Near Fine/VG+ condition, accompanied by a dust jacket in Very Good condition. The covers are in excellent shape, and the binding is square and tight. Although there's an organization stamp neatly marked out on the first page and minor abrasion to the title page, the interior pages are otherwise clean and unmarked. The crisp dust jacket adds to the overall presentation. The book will be meticulously packaged for shipment to ensure protection during transit, with a USPS electronic tracking number provided free of charge. For more information or pictures, please don't hesitate to contact us.Part of the Wiley-Interscience Hardcover Series, this volume offers major advances in exploratory data analysis and robust regression methods, presenting techniques that are not commonly available. It relates these methods to classical approaches and highlights their role in the data-analytic process. The book includes chapters on fitting by organized comparisons using the square combining table, resistant nonadditive fits for two-way tables, and identifying extreme cells in contingency tables using probabilistic and exploratory approaches. Additionally, it features a chapter on using robust regression in less technical language, making it accessible to a wider audience. Conceptual support for each technique is provided, making it a valuable reference for researchers and statisticians.
Edition originale
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Ajouter au panierHard Cover. Etat : Good. No Jacket. Reprint. From an academic library with the usual stamps etc. This item is heavy and will attract postal surcharges. A00023457.
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Ajouter au panierHardcover. Etat : New. In shrink wrap. Looks like an interesting title!
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Ajouter au panierpaperback. Etat : New. In shrink wrap. Looks like an interesting title!
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Ajouter au panierEtat : New.
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Ajouter au panierPAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.
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Ajouter au panierEtat : new.
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Ajouter au panierEtat : New. In.
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.
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Ajouter au panierEtat : New. pp. 528.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
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Ajouter au panierEtat : New. This newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. Editor(s): Hoaglin, David C.; Mosteller, Frederick; Tukey, John Wilder. Series: Wiley Series in Probability and Statistics. Num Pages: 528 pages, black & white illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 235 x 158 x 27. Weight in Grams: 732. . 2006. Revised. Paperback. . . . .
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Ajouter au panierEtat : New. pp. 528.
Vendeur : moluna, Greven, Allemagne
EUR 148,42
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Ajouter au panierKartoniert / Broschiert. Etat : New. DAVID C. HOAGLIN, PhD, is a Fellow of the American Statistical Association.FREDERICK MOSTELLER, PhD, has been the recipient of several honorary degrees and is a former President of the American Statistical Association.JOHN W. TUKEY, PhD, has received the Na.
Langue: anglais
Edité par Wiley-Interscience, New York, USA, 1991
ISBN 10 : 0471527351 ISBN 13 : 9780471527350
Vendeur : Goulds Book Arcade, Sydney, Newtown, Sydney, NSW, Australie
EUR 190,04
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Ajouter au panierHardcover. Etat : Very Good. Etat de la jaquette : No Dust Jacket. 430 pages. Books listed here are not stored at the shop. Please contact us if you want to pick up a book from Newtown.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierPaperback. Etat : Brand New. revised edition. 527 pages. 9.00x6.00x1.00 inches. In Stock.
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 216,30
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Ajouter au panierEtat : New. This newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. Editor(s): Hoaglin, David C.; Mosteller, Frederick; Tukey, John Wilder. Series: Wiley Series in Probability and Statistics. Num Pages: 528 pages, black & white illustrations. BIC Classification: PB. Category: (P) Professional & Vocational. Dimension: 235 x 158 x 27. Weight in Grams: 732. . 2006. Revised. Paperback. . . . . Books ship from the US and Ireland.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 182,15
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - WILEY-INTERSCIENCE PAPERBACK SERIESThe Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.'Exploring Data Tables, Trends, and Shapes (EDTTS) was written as a companion volume to the same editors' book, Understanding Robust and Exploratory Data Analysis (UREDA). Whereas UREDA is a collection of exploratory and resistant methods of estimation and display, EDTTS goes a step further, describing multivariate and more complicated techniques . . . I feel that the authors have made a very significant contribution in the area of multivariate nonparametric methods. This book [is] a valuable source of reference to researchers in the area.'-Technometrics'This edited volume . . . provides an important theoretical and philosophical extension to the currently popular statistical area of Exploratory Data Analysis, which seeks to reveal structure, or simple descriptions, in data . . . It is . . . an important reference volume which any statistical library should consider seriously.'-The StatisticianThis newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. The book addresses the role of exploratory and robust techniques in the overall data-analytic enterprise, and it also presents new methods such as fitting by organized comparisons using the square combining table and identifying extreme cells in a sizable contingency table with probabilistic and exploratory approaches. The book features a chapter on using robust regression in less technical language than available elsewhere. Conceptual support for each technique is also provided.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 261,85
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 252,34
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 161,32
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 762.
Langue: anglais
Edité par John Wiley & Sons Inc, Chichester, 2006
ISBN 10 : 047004005X ISBN 13 : 9780470040058
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Edition originale impression à la demande
EUR 146,98
Quantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : new. Paperback. WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "Exploring Data Tables, Trends, and Shapes (EDTTS) was written as a companion volume to the same editors' book, Understanding Robust and Exploratory Data Analysis (UREDA). Whereas UREDA is a collection of exploratory and resistant methods of estimation and display, EDTTS goes a step further, describing multivariate and more complicated techniques . . . I feel that the authors have made a very significant contribution in the area of multivariate nonparametric methods. This book [is] a valuable source of reference to researchers in the area." Technometrics "This edited volume . . . provides an important theoretical and philosophical extension to the currently popular statistical area of Exploratory Data Analysis, which seeks to reveal structure, or simple descriptions, in data . . . It is . . . an important reference volume which any statistical library should consider seriously." The Statistician This newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. The book addresses the role of exploratory and robust techniques in the overall data-analytic enterprise, and it also presents new methods such as fitting by organized comparisons using the square combining table and identifying extreme cells in a sizable contingency table with probabilistic and exploratory approaches. The book features a chapter on using robust regression in less technical language than available elsewhere. Conceptual support for each technique is also provided. This newly available and affordably priced paperback version of Exploring Data Tables, Trends, and Shapes presents major advances in exploratory data analysis and robust regression methods and explains the techniques, relating them to classical methods. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 182,99
Quantité disponible : 2 disponible(s)
Ajouter au panierPaperback. Etat : Brand New. revised edition. 527 pages. 9.00x6.00x1.00 inches. In Stock. This item is printed on demand.